Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor

Table 6

Comparison of the proposed method and state-of-the-art methods on the CapnoBase dataset.

Method	Matching	Accuracy (%)	EER (%)
[10]	k-NN	99.84	1.31
[13]	RF	99.00	—
[8]	Manhattan and Euclidean distances	—	1.00
Proposed	k-NN	99.92	—